Seedance 2 Omni Pro Workflow | Full Pipeline
This workflow demonstrates how combining traditional 3D software with advanced video reference features in Seedance 2 Pro bridges the gap between random prompt tests and production-ready commercial results.
What this lesson covers
Yaroflasher battle-tests Seedance 2 Pro within a product ad workflow for smart glasses, combining 3D setups in Cinema 4D with image and video references. The lesson demonstrates how to achieve maximum generation control by utilizing pre-visualized 3D animations and iterating through different prompt formats.
Key takeaways from the creator
AI-extracted notes, not independently verified product claims. Timestamp links let you check each point in the original video.
- 05:09 ↗
Building a simple base model in Cinema 4D provides fast, reliable shape and silhouette references for subsequent AI video generation.
- 05:58 ↗
Applying a checkerboard material to 3D assets helps the AI model track movement and geometry accurately during generation.
- 07:11 ↗
Comparing basic, detailed, and JSON prompt formats reveals that detailed descriptions provide superior control over simple text prompts.
- 09:34 ↗
Using 3D animation as a video reference in Seedance 2 allows filmmakers to enforce strict camera positioning and object framing.
Workflow outlined in the video
- Create a basic 3D model of your product in Cinema 4D focusing purely on shape and silhouette for speed.
- Apply a temporary checkerboard texture to your 3D assets to improve tracking during AI generation.
- Export your 3D animation as a clean playblast without viewport elements to use as a video reference.
- Prepare source image collages of your product from multiple angles using an image generation tool.
- Set up your project in FlashBoards, inputting both your reference images and 3D playblast to test generation parameters.
Before you use this workflow
These notes describe the source video at its publication date. Model access, pricing, connectors and interfaces may have changed. Check the original source and the provider’s current documentation before installing an add-on, connecting an account or spending credits.
ReelStack has not independently tested this workflow. Preview one representative shot and check motion, continuity and output quality before applying it to a full production. No result, cost saving or model capability is guaranteed.
How to interpret the numbers
14,748 views captured 24 October 2026. ReelStack recommendation score: 37/100. Formula: radar-v5. This is ReelStack’s calculation, not a YouTube rating or a measure of factual accuracy.
Show the calculation
- 45% performance: 1.05× views vs 13 other channel videos observed at a similar age. View-evidence factor 94% (views / (views + 1,000))
- 25% freshness: 0/100 with a 14-day half-life
- 20% momentum: 3 views/day vs 7 channel baseline (5 comparable uploads), with the same view-evidence factor
- 10% engagement: 100/100; likes + 4× comments, smoothed with a 500-view neutral prior